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Fuzzy and Neuro-fuzzy Control for Smart Structures

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Computational Intelligence and Optimization Methods for Control Engineering

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 150))

Abstract

Classical control tools often encounter a number of limitations on the investigation of smart composite structures due to nonlinearities and/or other uncertainties. Especially in smart structures, which is the case here, a significant degree of uncertainty is involved due to several imperfections and/or errors of both the controller and the structure itself. For example, in structures with multiple layers, several failures may appear, such as delamination, debonding, fatigue, etc. The use of intelligent fuzzy and adaptive control which is based on neuro-fuzzy techniques can be very helpful in this direction. One may also consider using global optimization algorithms for the fine-tuning of the characteristics of the controllers to maximize their applicability, their efficiency, and their robustness. In other words, the controllers can be designed based on intuition and basic engineering principles, and then they can be subjected to optimization, e.g., to training/learning using artificial neural networks, in order to achieve certain properties.

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Author information

Authors and Affiliations

  1. School of Production Engineering and Management, Technical University of Crete, Institute of Computational Mechanics and Optimization, 73100, Chania, Greece

    Georgios K. Tairidis & Georgios E. Stavroulakis

Authors
  1. Georgios K. Tairidis
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  2. Georgios E. Stavroulakis
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Correspondence to Georgios K. Tairidis .

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Editors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA

    Maude Josée Blondin

  2. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

  3. Institute of Automation and Industrial Computer, Polytechnic University of Valencia, Valencia, Spain

    Javier Sanchis Sáez

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Tairidis, G.K., Stavroulakis, G.E. (2019). Fuzzy and Neuro-fuzzy Control for Smart Structures. In: Blondin, M., Pardalos, P., Sanchis Sáez, J. (eds) Computational Intelligence and Optimization Methods for Control Engineering. Springer Optimization and Its Applications, vol 150. Springer, Cham. https://doi.org/10.1007/978-3-030-25446-9_4

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